Potential of small extracellular vesicles as Cas9 delivery tool: a promising approach for gene editing livestock gametes and embryos
Bibliographic record
Abstract
Genome editing is a rapidly advancing technology with transformative potential in livestock, offering opportunities that range from enhanced production traits to the generation of biomedical models for human disease and xenotransplantation. The CRISPR/Cas9 system, originally identified as a bacterial defense mechanism, has become the most widely used tool for precise genome editing. In this review, we first summarize the potential applications of CRISPR/Cas9 in livestock and highlight notable successes to date. We then address the ongoing challenges associated with delivering CRISPR/Cas9 into gametes and embryos, as current methods such as microinjection and electroporation often result in high mosaicism and cellular damage. We subsequently introduce extracellular vesicles (EVs) as a promising alternative delivery system. Secreted by virtually all cell types, EVs can efficiently transport bioactive molecules and are readily internalized by gametes and embryos. Although EV-mediated delivery of CRISPR/Cas9 has shown success in somatic cells, its use in reproductive cells remains largely unexplored. We review emerging strategies for loading EVs with CRISPR/Cas components and discuss the potential advantages of combining this approach with recently developed smaller Cas variants to overcome delivery barriers. Collectively, these innovations support the promise of EVs as a biologically compatible, efficient, and minimally invasive system for targeted genome editing in livestock reproduction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".